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SUMMARY:BSU Seminar: &quot\;Genome-wide genetic models for association\, h
 eritability analyses and prediction&quot\; - David Balding\, Honorary Prof
 essor of Statistical Genetics at UCL Genetics Institute and University of 
 Melbourne
DTSTART:20220822T143000Z
DTEND:20220822T153000Z
UID:TALK176807@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Although simultaneous analysis of genome-wide SNPs has been po
 pular for over a decade\, the problems posed by more SNPs than study parti
 cipants (more parameters than data points)\, and correlations among the SN
 Ps\, have not been adequately overcome so that almost all published genome
 -wide analyses are suboptimal.  While there has been much attention paid t
 o the shape of prior distributions for SNP effect sizes\, we argue that th
 is attention is misplaced.  We focus on what we call the "heritability mod
 el": a low-dimensional model for the expected heritability at each SNP\, w
 hich is key to both individual-data and summary-statistic analyses.  The 1
 -df uniform heritability model has been implicitly adopted in a wide range
  of analyses.  Replacing it with better heritability models\, using predic
 tors based on allele frequency\, linkage disequilibrium and functional ann
 otations\, leads to substantial improvements in estimates of heritability 
 and selection parameters over traits\, and over genome regions\, as well a
 s improvements in gene-based association testing and prediction. Key colla
 borators Doug Speed\, Aarhus\, Denmark and Melbourne PhD student Anubhav K
 aphle.\n\n
LOCATION:Seminar Rooms 1 &amp\; 2\, School of Clinical Medicine\, Hills Ro
 ad\, Cambridge CB2 0SP
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